Known metabolic pathways, protein complexes, signal transduction pathways, etc ... from curated databases.
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Fusion
Genes that are sometimes fused into single open reading frames.
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Textmining
Automated, unsupervised textmining - searching for proteins that are frequently mentioned together.
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Coexpression
Proteins whose genes are observed to be correlated in expression, across a large number of experiments.
STRING allows inspection of the interaction evidence for any given network. Choose any of the viewers above (disabled if not applicable in your network).
Nodes:
Network nodes represent proteins
splice isoforms or post-translational modifications are collapsed, i.e. each node represents all the proteins produced by a single, protein-coding gene locus.
Node Color
colored nodes: query proteins and first shell of interactors
white nodes: second shell of interactors
Node Content
empty nodes: proteins of unknown 3D structure
filled nodes: a 3D structure is known or predicted
Edges:
Edges represent protein-protein associations
associations are meant to be specific and meaningful, i.e. proteins jointly contribute to a shared function; this does not necessarily mean they are physically binding to each other.
Known Interactions
from curated databases
experimentally determined
Predicted Interactions
gene neighborhood
gene fusions
gene co-occurrence
Others
textmining
co-expression
protein homology
Your Input:
Neighborhood
Gene Fusion
Cooccurrence
Coexpression
Experiments
Databases
Textmining
[Homology]
Score
SDJ80027.1
Hypothetical protein. (260 aa)
Predicted Functional Partners:
phoD
Alkaline phosphatase D.
0.467
SDJ18870.1
Putative lumazine-binding.
0.433
Your Current Organism:
Chryseobacterium jejuense
NCBI taxonomy Id: 445960 Other names: C. jejuense, Chryseobacterium jejuense Weon et al. 2008 emend. Montero-Calasanz et al. 2014, Chryseobacterium jejuense Weon et al. 2008 emend. Wu et al. 2013, Chryseobacterium sp. JS17-8, DSM 19299, KACC 12501, strain JS17-8